$194,400 - $291,600 USD yearly
Originally posted September 30, 2026 by the employer.
About the role
This role involves developing end-to-end embedded AI software to train and finetune neural network models on edge hardware with optimal power, memory, and computation resources. You will work on model optimization tools and generative AI solutions targeting devices such as smartphones, autonomous vehicles, robotics, and IoT devices.
What you'll do
- Develop end-to-end embedded AI software to train and finetune neural network models on edge hardware with optimal resources.
- Design and enhance the implementation of the ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
- Collaborate with the AI Processor Hardware team to implement solutions for new ML operators and layers that utilize new capabilities in AI processors.
- Develop debugging tools, profiling tools, and SDKs for rapid deployment of new use cases.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; or Master's degree with 5+ years; or PhD with 4+ years.
- Experience with Hardware Engineering, Software Engineering, or Systems Engineering.
Nice to have
- 5 years of experience with Machine Learning frameworks and Deep Learning (PyTorch).
- 5 years of experience with one or more programming languages suitable for machine learning (e.g., Python, C, C++).
- Software design, development, and debugging skills.
- Knowledge of Android programming.
- Optimization of algebraic operations in algorithms for HW cores.
- Knowledge of neural network model training.
- Knowledge of neural network model quantization.
- Experience with Qualcomm QNN SDK.
Skills: PyTorch, runtime, kernels, ML/AI SW stack, quantization
More semiconductor jobs: Qualcomm jobs · San Diego jobs
First seen in our index 44 days ago, well below the 77-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
108
|
Median days since first seen
77 d
|
Category median salary (all employers)
$202k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (108 roles · 29 employers) |
|---|---|---|
| Open roles in this specialty | 23 | 108 |
| Open roles in the wider Software, Firmware & Systems family | 778 | 6737 · 162 employers |
| Median days since first seen | 60 d | 77 d (+17 d vs this employer) |
| Median salary (USD postings) | n/a | $202k |
Skills observed across this category: PyTorch, runtime, kernels, ML/AI SW stack, quantization
Who's hiring in this category
- Qualcomm (this employer) · 22 open roles · median 61 d
- NVIDIA · 21 open roles · median 85 d
- Graphcore · 8 open roles · median 141 d
- AMD · 7 open roles · median 53 d
- Micron Technology · 6 open roles · median 68 d
- Arm Holdings · 4 open roles · median 17 d
How we counted: 108 open Infrastructure/Platform Software (AI ML Hardware) roles from 29 employers tracked in the SemiconductorJobs index, counted 14 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.